Magnetic-Survey-Quality.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "import shapely\n",
    "import rasterio\n",
    "import descartes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get geophysics survey metadata from Geoscience Australia web services"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#thanks to Simon van der Wielen for the shortcut\n",
    "surveys = pd.read_csv('https://services.ga.gov.au/gis/geophysical-surveys/wms?request=GetFeature&service=WFS&version=1.1.0&outputFormat=csv&typeName=gadds:geophysical_survey_datasets')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "surveys.to_csv(r'C:\\users\\rscott\\Downloads\\GA_geophysical_surveys.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns', 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FID</th>\n",
       "      <th>datasetno</th>\n",
       "      <th>survey_eno</th>\n",
       "      <th>constituent_surveys</th>\n",
       "      <th>survey_id</th>\n",
       "      <th>survey_name</th>\n",
       "      <th>measure_type</th>\n",
       "      <th>measure_subtype</th>\n",
       "      <th>dataset_type</th>\n",
       "      <th>national_dataset</th>\n",
       "      <th>archive_file_description</th>\n",
       "      <th>archive_file_format</th>\n",
       "      <th>datum_levelling</th>\n",
       "      <th>archive_location</th>\n",
       "      <th>archive_type</th>\n",
       "      <th>file_size</th>\n",
       "      <th>country</th>\n",
       "      <th>state</th>\n",
       "      <th>onshore_offshore</th>\n",
       "      <th>survey_type</th>\n",
       "      <th>survey_detail</th>\n",
       "      <th>owner</th>\n",
       "      <th>operator</th>\n",
       "      <th>contractor</th>\n",
       "      <th>processor</th>\n",
       "      <th>client</th>\n",
       "      <th>platform_type</th>\n",
       "      <th>platform_name</th>\n",
       "      <th>survey_start_date</th>\n",
       "      <th>survey_end_date</th>\n",
       "      <th>crs_datum</th>\n",
       "      <th>min_longitude_wgs84</th>\n",
       "      <th>max_longitude_wgs84</th>\n",
       "      <th>min_latitude_wgs84</th>\n",
       "      <th>max_latitude_wgs84</th>\n",
       "      <th>min_line_spacing_m</th>\n",
       "      <th>max_line_spacing_m</th>\n",
       "      <th>tie_spacing_m</th>\n",
       "      <th>line_km</th>\n",
       "      <th>tie_km</th>\n",
       "      <th>total_km</th>\n",
       "      <th>line_azimuth</th>\n",
       "      <th>tie_azimuth</th>\n",
       "      <th>area_km2</th>\n",
       "      <th>flight_height_asl</th>\n",
       "      <th>flight_height_agl</th>\n",
       "      <th>mag_instrument</th>\n",
       "      <th>mag_sample_interval</th>\n",
       "      <th>rad_instrument</th>\n",
       "      <th>rad_sample_interval</th>\n",
       "      <th>rad_crystal_volume_down</th>\n",
       "      <th>rad_crystal_volume_up</th>\n",
       "      <th>grav_stations</th>\n",
       "      <th>min_station_spacing_m</th>\n",
       "      <th>max_station_spacing_m</th>\n",
       "      <th>grav_layout</th>\n",
       "      <th>grav_instrument</th>\n",
       "      <th>grav_reliability</th>\n",
       "      <th>em_system</th>\n",
       "      <th>legislation</th>\n",
       "      <th>survey_comments</th>\n",
       "      <th>cell_size_degrees</th>\n",
       "      <th>cell_size_m</th>\n",
       "      <th>dataset_release_date</th>\n",
       "      <th>licence</th>\n",
       "      <th>wms</th>\n",
       "      <th>wcs</th>\n",
       "      <th>ncss</th>\n",
       "      <th>opendap</th>\n",
       "      <th>file_download</th>\n",
       "      <th>doi</th>\n",
       "      <th>ecat_id</th>\n",
       "      <th>ecat_pid</th>\n",
       "      <th>ecat_uuid</th>\n",
       "      <th>dataset_qa_status</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>geophysical_survey_datasets.14601</td>\n",
       "      <td>14601</td>\n",
       "      <td>228803</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1000</td>\n",
       "      <td>Julia Creek, QLD, 1999</td>\n",
       "      <td>elevation</td>\n",
       "      <td>ground elevation geoid</td>\n",
       "      <td>grid</td>\n",
       "      <td>N</td>\n",
       "      <td>Julia Creek elevation grid geodetic</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>5395 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>QLD</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>semi-detailed</td>\n",
       "      <td>Australian Geological Survey Organisation (AGSO)</td>\n",
       "      <td>Australian Geological Survey Organisation (AGSO)</td>\n",
       "      <td>Australian Geological Survey Organisation (AGS...</td>\n",
       "      <td>Australian Geological Survey Organisation (AGS...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>Rockwell Aero Commander VH-BGE</td>\n",
       "      <td>1999-04-25</td>\n",
       "      <td>1999-06-06</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>140.9911</td>\n",
       "      <td>142.5110</td>\n",
       "      <td>-21.0119</td>\n",
       "      <td>-19.9845</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>44849.0</td>\n",
       "      <td>4548.0</td>\n",
       "      <td>49397.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17323.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>90.0</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>140555.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/140555</td>\n",
       "      <td>073970ff-64e8-4cdd-a099-ad934acc6ebc</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-21.008366 140.991649, -21.007188 14...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>geophysical_survey_datasets.14602</td>\n",
       "      <td>14602</td>\n",
       "      <td>228803</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1000</td>\n",
       "      <td>Julia Creek, QLD, 1999</td>\n",
       "      <td>radiometric</td>\n",
       "      <td>dose rate - terrestrial</td>\n",
       "      <td>grid</td>\n",
       "      <td>N</td>\n",
       "      <td>Julia Creek dose rate grid geodeticg</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>6251 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>QLD</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>semi-detailed</td>\n",
       "      <td>Australian Geological Survey Organisation (AGSO)</td>\n",
       "      <td>Australian Geological Survey Organisation (AGSO)</td>\n",
       "      <td>Australian Geological Survey Organisation (AGS...</td>\n",
       "      <td>Australian Geological Survey Organisation (AGS...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>Rockwell Aero Commander VH-BGE</td>\n",
       "      <td>1999-04-25</td>\n",
       "      <td>1999-06-06</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>140.9911</td>\n",
       "      <td>142.5110</td>\n",
       "      <td>-21.0120</td>\n",
       "      <td>-19.9845</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>44849.0</td>\n",
       "      <td>4548.0</td>\n",
       "      <td>49397.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17323.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>geoMetrics Exploranium GR-800</td>\n",
       "      <td>1.0 second</td>\n",
       "      <td>33.6 litre</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>90.0</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>142623.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/142623</td>\n",
       "      <td>e4765eca-c682-4fe4-a151-49c1ab4949a9</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-21.008287 140.992593, -21.007313 14...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>geophysical_survey_datasets.14603</td>\n",
       "      <td>14603</td>\n",
       "      <td>228803</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1000</td>\n",
       "      <td>Julia Creek, QLD, 1999</td>\n",
       "      <td>radiometric</td>\n",
       "      <td>K equivalent ground concentration</td>\n",
       "      <td>grid</td>\n",
       "      <td>N</td>\n",
       "      <td>Julia Creek percent potassium grid geodeticg</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>6541 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>QLD</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>semi-detailed</td>\n",
       "      <td>Australian Geological Survey Organisation (AGSO)</td>\n",
       "      <td>Australian Geological Survey Organisation (AGSO)</td>\n",
       "      <td>Australian Geological Survey Organisation (AGS...</td>\n",
       "      <td>Australian Geological Survey Organisation (AGS...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>Rockwell Aero Commander VH-BGE</td>\n",
       "      <td>1999-04-25</td>\n",
       "      <td>1999-06-06</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>140.9911</td>\n",
       "      <td>142.5110</td>\n",
       "      <td>-21.0120</td>\n",
       "      <td>-19.9845</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>44849.0</td>\n",
       "      <td>4548.0</td>\n",
       "      <td>49397.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17323.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>geoMetrics Exploranium GR-800</td>\n",
       "      <td>1.0 second</td>\n",
       "      <td>33.6 litre</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>90.0</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>140554.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/140554</td>\n",
       "      <td>91645a29-7417-41d2-a7e9-caf8ba02d4d7</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-21.008287 140.992593, -21.007313 14...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>geophysical_survey_datasets.14604</td>\n",
       "      <td>14604</td>\n",
       "      <td>228803</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1000</td>\n",
       "      <td>Julia Creek, QLD, 1999</td>\n",
       "      <td>radiometric</td>\n",
       "      <td>Th equivalent ground concentration</td>\n",
       "      <td>grid</td>\n",
       "      <td>N</td>\n",
       "      <td>Julia Creek ppm thorium grid geodetichg</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>6380 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>QLD</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>semi-detailed</td>\n",
       "      <td>Australian Geological Survey Organisation (AGSO)</td>\n",
       "      <td>Australian Geological Survey Organisation (AGSO)</td>\n",
       "      <td>Australian Geological Survey Organisation (AGS...</td>\n",
       "      <td>Australian Geological Survey Organisation (AGS...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>Rockwell Aero Commander VH-BGE</td>\n",
       "      <td>1999-04-25</td>\n",
       "      <td>1999-06-06</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>140.9911</td>\n",
       "      <td>142.5110</td>\n",
       "      <td>-21.0120</td>\n",
       "      <td>-19.9845</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>44849.0</td>\n",
       "      <td>4548.0</td>\n",
       "      <td>49397.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17323.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>geoMetrics Exploranium GR-800</td>\n",
       "      <td>1.0 second</td>\n",
       "      <td>33.6 litre</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>90.0</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>142622.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/142622</td>\n",
       "      <td>90b942a2-bbdb-455f-932f-3051826cc671</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-21.008287 140.992593, -21.007313 14...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>geophysical_survey_datasets.14605</td>\n",
       "      <td>14605</td>\n",
       "      <td>228803</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1000</td>\n",
       "      <td>Julia Creek, QLD, 1999</td>\n",
       "      <td>magnetic</td>\n",
       "      <td>TMI (total magnetic intensity)</td>\n",
       "      <td>grid</td>\n",
       "      <td>N</td>\n",
       "      <td>Julia Creek magnetic grid geodetic</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>4237 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>QLD</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>semi-detailed</td>\n",
       "      <td>Australian Geological Survey Organisation (AGSO)</td>\n",
       "      <td>Australian Geological Survey Organisation (AGSO)</td>\n",
       "      <td>Australian Geological Survey Organisation (AGS...</td>\n",
       "      <td>Australian Geological Survey Organisation (AGS...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>Rockwell Aero Commander VH-BGE</td>\n",
       "      <td>1999-04-25</td>\n",
       "      <td>1999-06-06</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>140.9912</td>\n",
       "      <td>142.5111</td>\n",
       "      <td>-21.0120</td>\n",
       "      <td>-19.9846</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>44849.0</td>\n",
       "      <td>4548.0</td>\n",
       "      <td>49397.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17323.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>geoMetrics G-822A</td>\n",
       "      <td>0.1 second</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>90.0</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>142621.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/142621</td>\n",
       "      <td>b21fbf84-39d6-4e6b-a6b6-e9aa91f18716</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-21.008457 140.991757, -21.007279 14...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 FID  datasetno  survey_eno  \\\n",
       "0  geophysical_survey_datasets.14601      14601      228803   \n",
       "1  geophysical_survey_datasets.14602      14602      228803   \n",
       "2  geophysical_survey_datasets.14603      14603      228803   \n",
       "3  geophysical_survey_datasets.14604      14604      228803   \n",
       "4  geophysical_survey_datasets.14605      14605      228803   \n",
       "\n",
       "  constituent_surveys survey_id             survey_name measure_type  \\\n",
       "0                 NaN      1000  Julia Creek, QLD, 1999    elevation   \n",
       "1                 NaN      1000  Julia Creek, QLD, 1999  radiometric   \n",
       "2                 NaN      1000  Julia Creek, QLD, 1999  radiometric   \n",
       "3                 NaN      1000  Julia Creek, QLD, 1999  radiometric   \n",
       "4                 NaN      1000  Julia Creek, QLD, 1999     magnetic   \n",
       "\n",
       "                      measure_subtype dataset_type national_dataset  \\\n",
       "0              ground elevation geoid         grid                N   \n",
       "1             dose rate - terrestrial         grid                N   \n",
       "2   K equivalent ground concentration         grid                N   \n",
       "3  Th equivalent ground concentration         grid                N   \n",
       "4      TMI (total magnetic intensity)         grid                N   \n",
       "\n",
       "                       archive_file_description archive_file_format  \\\n",
       "0           Julia Creek elevation grid geodetic        NetCDF (.nc)   \n",
       "1          Julia Creek dose rate grid geodeticg        NetCDF (.nc)   \n",
       "2  Julia Creek percent potassium grid geodeticg        NetCDF (.nc)   \n",
       "3       Julia Creek ppm thorium grid geodetichg        NetCDF (.nc)   \n",
       "4            Julia Creek magnetic grid geodetic        NetCDF (.nc)   \n",
       "\n",
       "  datum_levelling                                   archive_location  \\\n",
       "0             NaN  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "1             NaN  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "2             NaN  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "3             NaN  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "4             NaN  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "\n",
       "              archive_type file_size country state onshore_offshore  \\\n",
       "0  ANU NCI file repository   5395 KB     AUS   QLD          onshore   \n",
       "1  ANU NCI file repository   6251 KB     AUS   QLD          onshore   \n",
       "2  ANU NCI file repository   6541 KB     AUS   QLD          onshore   \n",
       "3  ANU NCI file repository   6380 KB     AUS   QLD          onshore   \n",
       "4  ANU NCI file repository   4237 KB     AUS   QLD          onshore   \n",
       "\n",
       "  survey_type  survey_detail  \\\n",
       "0         air  semi-detailed   \n",
       "1         air  semi-detailed   \n",
       "2         air  semi-detailed   \n",
       "3         air  semi-detailed   \n",
       "4         air  semi-detailed   \n",
       "\n",
       "                                              owner  \\\n",
       "0  Australian Geological Survey Organisation (AGSO)   \n",
       "1  Australian Geological Survey Organisation (AGSO)   \n",
       "2  Australian Geological Survey Organisation (AGSO)   \n",
       "3  Australian Geological Survey Organisation (AGSO)   \n",
       "4  Australian Geological Survey Organisation (AGSO)   \n",
       "\n",
       "                                           operator  \\\n",
       "0  Australian Geological Survey Organisation (AGSO)   \n",
       "1  Australian Geological Survey Organisation (AGSO)   \n",
       "2  Australian Geological Survey Organisation (AGSO)   \n",
       "3  Australian Geological Survey Organisation (AGSO)   \n",
       "4  Australian Geological Survey Organisation (AGSO)   \n",
       "\n",
       "                                          contractor  \\\n",
       "0  Australian Geological Survey Organisation (AGS...   \n",
       "1  Australian Geological Survey Organisation (AGS...   \n",
       "2  Australian Geological Survey Organisation (AGS...   \n",
       "3  Australian Geological Survey Organisation (AGS...   \n",
       "4  Australian Geological Survey Organisation (AGS...   \n",
       "\n",
       "                                           processor client  \\\n",
       "0  Australian Geological Survey Organisation (AGS...    NaN   \n",
       "1  Australian Geological Survey Organisation (AGS...    NaN   \n",
       "2  Australian Geological Survey Organisation (AGS...    NaN   \n",
       "3  Australian Geological Survey Organisation (AGS...    NaN   \n",
       "4  Australian Geological Survey Organisation (AGS...    NaN   \n",
       "\n",
       "         platform_type                   platform_name survey_start_date  \\\n",
       "0  fixed wing aircraft  Rockwell Aero Commander VH-BGE        1999-04-25   \n",
       "1  fixed wing aircraft  Rockwell Aero Commander VH-BGE        1999-04-25   \n",
       "2  fixed wing aircraft  Rockwell Aero Commander VH-BGE        1999-04-25   \n",
       "3  fixed wing aircraft  Rockwell Aero Commander VH-BGE        1999-04-25   \n",
       "4  fixed wing aircraft  Rockwell Aero Commander VH-BGE        1999-04-25   \n",
       "\n",
       "  survey_end_date  crs_datum  min_longitude_wgs84  max_longitude_wgs84  \\\n",
       "0      1999-06-06  EPSG:4326             140.9911             142.5110   \n",
       "1      1999-06-06  EPSG:4326             140.9911             142.5110   \n",
       "2      1999-06-06  EPSG:4326             140.9911             142.5110   \n",
       "3      1999-06-06  EPSG:4326             140.9911             142.5110   \n",
       "4      1999-06-06  EPSG:4326             140.9912             142.5111   \n",
       "\n",
       "   min_latitude_wgs84  max_latitude_wgs84  min_line_spacing_m  \\\n",
       "0            -21.0119            -19.9845               400.0   \n",
       "1            -21.0120            -19.9845               400.0   \n",
       "2            -21.0120            -19.9845               400.0   \n",
       "3            -21.0120            -19.9845               400.0   \n",
       "4            -21.0120            -19.9846               400.0   \n",
       "\n",
       "   max_line_spacing_m  tie_spacing_m  line_km  tie_km  total_km  line_azimuth  \\\n",
       "0               400.0         4000.0  44849.0  4548.0   49397.0          90.0   \n",
       "1               400.0         4000.0  44849.0  4548.0   49397.0          90.0   \n",
       "2               400.0         4000.0  44849.0  4548.0   49397.0          90.0   \n",
       "3               400.0         4000.0  44849.0  4548.0   49397.0          90.0   \n",
       "4               400.0         4000.0  44849.0  4548.0   49397.0          90.0   \n",
       "\n",
       "   tie_azimuth  area_km2  flight_height_asl  flight_height_agl  \\\n",
       "0          0.0   17323.0                NaN               80.0   \n",
       "1          0.0   17323.0                NaN               80.0   \n",
       "2          0.0   17323.0                NaN               80.0   \n",
       "3          0.0   17323.0                NaN               80.0   \n",
       "4          0.0   17323.0                NaN               80.0   \n",
       "\n",
       "      mag_instrument mag_sample_interval                 rad_instrument  \\\n",
       "0                NaN                 NaN                            NaN   \n",
       "1                NaN                 NaN  geoMetrics Exploranium GR-800   \n",
       "2                NaN                 NaN  geoMetrics Exploranium GR-800   \n",
       "3                NaN                 NaN  geoMetrics Exploranium GR-800   \n",
       "4  geoMetrics G-822A          0.1 second                            NaN   \n",
       "\n",
       "  rad_sample_interval rad_crystal_volume_down rad_crystal_volume_up  \\\n",
       "0                 NaN                     NaN                   NaN   \n",
       "1          1.0 second              33.6 litre                   NaN   \n",
       "2          1.0 second              33.6 litre                   NaN   \n",
       "3          1.0 second              33.6 litre                   NaN   \n",
       "4                 NaN                     NaN                   NaN   \n",
       "\n",
       "   grav_stations  min_station_spacing_m  max_station_spacing_m grav_layout  \\\n",
       "0            NaN                    NaN                    NaN         NaN   \n",
       "1            NaN                    NaN                    NaN         NaN   \n",
       "2            NaN                    NaN                    NaN         NaN   \n",
       "3            NaN                    NaN                    NaN         NaN   \n",
       "4            NaN                    NaN                    NaN         NaN   \n",
       "\n",
       "  grav_instrument  grav_reliability  em_system legislation survey_comments  \\\n",
       "0             NaN               NaN        NaN         NaN             NaN   \n",
       "1             NaN               NaN        NaN         NaN             NaN   \n",
       "2             NaN               NaN        NaN         NaN             NaN   \n",
       "3             NaN               NaN        NaN         NaN             NaN   \n",
       "4             NaN               NaN        NaN         NaN             NaN   \n",
       "\n",
       "   cell_size_degrees  cell_size_m dataset_release_date  \\\n",
       "0             0.0008         90.0           2020-09-01   \n",
       "1             0.0008         90.0           2020-09-01   \n",
       "2             0.0008         90.0           2020-09-01   \n",
       "3             0.0008         90.0           2020-09-01   \n",
       "4             0.0008         90.0           2020-09-01   \n",
       "\n",
       "                                             licence  wms  wcs  ncss  opendap  \\\n",
       "0  CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN      NaN   \n",
       "1  CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN      NaN   \n",
       "2  CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN      NaN   \n",
       "3  CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN      NaN   \n",
       "4  CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN      NaN   \n",
       "\n",
       "                                       file_download  doi   ecat_id  \\\n",
       "0  http://dapds00.nci.org.au/thredds/fileServer/i...  NaN  140555.0   \n",
       "1  http://dapds00.nci.org.au/thredds/fileServer/i...  NaN  142623.0   \n",
       "2  http://dapds00.nci.org.au/thredds/fileServer/i...  NaN  140554.0   \n",
       "3  http://dapds00.nci.org.au/thredds/fileServer/i...  NaN  142622.0   \n",
       "4  http://dapds00.nci.org.au/thredds/fileServer/i...  NaN  142621.0   \n",
       "\n",
       "                                         ecat_pid  \\\n",
       "0  http://pid.geoscience.gov.au/dataset/ga/140555   \n",
       "1  http://pid.geoscience.gov.au/dataset/ga/142623   \n",
       "2  http://pid.geoscience.gov.au/dataset/ga/140554   \n",
       "3  http://pid.geoscience.gov.au/dataset/ga/142622   \n",
       "4  http://pid.geoscience.gov.au/dataset/ga/142621   \n",
       "\n",
       "                              ecat_uuid dataset_qa_status  \\\n",
       "0  073970ff-64e8-4cdd-a099-ad934acc6ebc                 U   \n",
       "1  e4765eca-c682-4fe4-a151-49c1ab4949a9                 U   \n",
       "2  91645a29-7417-41d2-a7e9-caf8ba02d4d7                 U   \n",
       "3  90b942a2-bbdb-455f-932f-3051826cc671                 U   \n",
       "4  b21fbf84-39d6-4e6b-a6b6-e9aa91f18716                 U   \n",
       "\n",
       "                                            geometry  \n",
       "0  POLYGON ((-21.008366 140.991649, -21.007188 14...  \n",
       "1  POLYGON ((-21.008287 140.992593, -21.007313 14...  \n",
       "2  POLYGON ((-21.008287 140.992593, -21.007313 14...  \n",
       "3  POLYGON ((-21.008287 140.992593, -21.007313 14...  \n",
       "4  POLYGON ((-21.008457 140.991757, -21.007279 14...  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "surveys.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "radiometric    1858\n",
       "gravity        1825\n",
       "magnetic       1271\n",
       "elevation       576\n",
       "Name: measure_type, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "surveys.measure_type.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We just want the magnetic line surveys for now - according to the writeup, 1059 went into the national magnetic map grids, but at the moment we don't know which surveys, hopefully a list forthcoming soon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "mag_surveys = surveys[surveys['measure_type'] == 'magnetic']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "line    790\n",
       "grid    481\n",
       "Name: dataset_type, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mag_surveys['dataset_type'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FID</th>\n",
       "      <th>datasetno</th>\n",
       "      <th>survey_eno</th>\n",
       "      <th>constituent_surveys</th>\n",
       "      <th>survey_id</th>\n",
       "      <th>survey_name</th>\n",
       "      <th>measure_type</th>\n",
       "      <th>measure_subtype</th>\n",
       "      <th>dataset_type</th>\n",
       "      <th>national_dataset</th>\n",
       "      <th>archive_file_description</th>\n",
       "      <th>archive_file_format</th>\n",
       "      <th>datum_levelling</th>\n",
       "      <th>archive_location</th>\n",
       "      <th>archive_type</th>\n",
       "      <th>file_size</th>\n",
       "      <th>country</th>\n",
       "      <th>state</th>\n",
       "      <th>onshore_offshore</th>\n",
       "      <th>survey_type</th>\n",
       "      <th>survey_detail</th>\n",
       "      <th>owner</th>\n",
       "      <th>operator</th>\n",
       "      <th>contractor</th>\n",
       "      <th>processor</th>\n",
       "      <th>client</th>\n",
       "      <th>platform_type</th>\n",
       "      <th>platform_name</th>\n",
       "      <th>survey_start_date</th>\n",
       "      <th>survey_end_date</th>\n",
       "      <th>crs_datum</th>\n",
       "      <th>min_longitude_wgs84</th>\n",
       "      <th>max_longitude_wgs84</th>\n",
       "      <th>min_latitude_wgs84</th>\n",
       "      <th>max_latitude_wgs84</th>\n",
       "      <th>min_line_spacing_m</th>\n",
       "      <th>max_line_spacing_m</th>\n",
       "      <th>tie_spacing_m</th>\n",
       "      <th>line_km</th>\n",
       "      <th>tie_km</th>\n",
       "      <th>total_km</th>\n",
       "      <th>line_azimuth</th>\n",
       "      <th>tie_azimuth</th>\n",
       "      <th>area_km2</th>\n",
       "      <th>flight_height_asl</th>\n",
       "      <th>flight_height_agl</th>\n",
       "      <th>mag_instrument</th>\n",
       "      <th>mag_sample_interval</th>\n",
       "      <th>rad_instrument</th>\n",
       "      <th>rad_sample_interval</th>\n",
       "      <th>rad_crystal_volume_down</th>\n",
       "      <th>rad_crystal_volume_up</th>\n",
       "      <th>grav_stations</th>\n",
       "      <th>min_station_spacing_m</th>\n",
       "      <th>max_station_spacing_m</th>\n",
       "      <th>grav_layout</th>\n",
       "      <th>grav_instrument</th>\n",
       "      <th>grav_reliability</th>\n",
       "      <th>em_system</th>\n",
       "      <th>legislation</th>\n",
       "      <th>survey_comments</th>\n",
       "      <th>cell_size_degrees</th>\n",
       "      <th>cell_size_m</th>\n",
       "      <th>dataset_release_date</th>\n",
       "      <th>licence</th>\n",
       "      <th>wms</th>\n",
       "      <th>wcs</th>\n",
       "      <th>ncss</th>\n",
       "      <th>opendap</th>\n",
       "      <th>file_download</th>\n",
       "      <th>doi</th>\n",
       "      <th>ecat_id</th>\n",
       "      <th>ecat_pid</th>\n",
       "      <th>ecat_uuid</th>\n",
       "      <th>dataset_qa_status</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>geophysical_survey_datasets.14605</td>\n",
       "      <td>14605</td>\n",
       "      <td>228803</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1000</td>\n",
       "      <td>Julia Creek, QLD, 1999</td>\n",
       "      <td>magnetic</td>\n",
       "      <td>TMI (total magnetic intensity)</td>\n",
       "      <td>grid</td>\n",
       "      <td>N</td>\n",
       "      <td>Julia Creek magnetic grid geodetic</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>4237 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>QLD</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>semi-detailed</td>\n",
       "      <td>Australian Geological Survey Organisation (AGSO)</td>\n",
       "      <td>Australian Geological Survey Organisation (AGSO)</td>\n",
       "      <td>Australian Geological Survey Organisation (AGS...</td>\n",
       "      <td>Australian Geological Survey Organisation (AGS...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>Rockwell Aero Commander VH-BGE</td>\n",
       "      <td>1999-04-25</td>\n",
       "      <td>1999-06-06</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>140.9912</td>\n",
       "      <td>142.5111</td>\n",
       "      <td>-21.0120</td>\n",
       "      <td>-19.9846</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>44849.0</td>\n",
       "      <td>4548.0</td>\n",
       "      <td>49397.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17323.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>geoMetrics G-822A</td>\n",
       "      <td>0.1 second</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>90.0</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>142621.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/142621</td>\n",
       "      <td>b21fbf84-39d6-4e6b-a6b6-e9aa91f18716</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-21.008457 140.991757, -21.007279 14...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>geophysical_survey_datasets.14611</td>\n",
       "      <td>14611</td>\n",
       "      <td>229003</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1035</td>\n",
       "      <td>Robinson Range - Belele, WA, 2003</td>\n",
       "      <td>magnetic</td>\n",
       "      <td>TMI (total magnetic intensity)</td>\n",
       "      <td>grid</td>\n",
       "      <td>N</td>\n",
       "      <td>Robinson Range Belele Magnetic Grid Geodetic</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>7114 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>WA</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>semi-detailed</td>\n",
       "      <td>Geoscience Australia</td>\n",
       "      <td>Geoscience Australia</td>\n",
       "      <td>Fugro Airborne Surveys Pty Ltd</td>\n",
       "      <td>Fugro Airborne Surveys Pty Ltd</td>\n",
       "      <td>Department of Industry and Resources (Western ...</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>Aero Commander</td>\n",
       "      <td>2003-10-13</td>\n",
       "      <td>2003-11-01</td>\n",
       "      <td>EPSG:4283</td>\n",
       "      <td>116.5522</td>\n",
       "      <td>118.5214</td>\n",
       "      <td>-27.1584</td>\n",
       "      <td>-25.7298</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>29161.0</td>\n",
       "      <td>23860.0</td>\n",
       "      <td>53021.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9753.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>geoMetrics G-823A</td>\n",
       "      <td>0.1 second</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MAGIX # 60834 - 3 survey areas: North-West: li...</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>88.0</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>142415.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/142415</td>\n",
       "      <td>7804eabe-0d11-4b39-87c5-ca4c218dffd3</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-27.158109 116.564455, -27.156931 11...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>geophysical_survey_datasets.15181</td>\n",
       "      <td>15181</td>\n",
       "      <td>228389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>311</td>\n",
       "      <td>Great Artesian Basin, QLD, 1965</td>\n",
       "      <td>magnetic</td>\n",
       "      <td>magnetic line data</td>\n",
       "      <td>line</td>\n",
       "      <td>N</td>\n",
       "      <td>Great Artesian Basin, QLD, 1965 (P311), magnet...</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>AWAGS_MAG_2010</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>1030 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>QLD</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>regional</td>\n",
       "      <td>Bureau of Mineral Resources (BMR)</td>\n",
       "      <td>Bureau of Mineral Resources (BMR)</td>\n",
       "      <td>Australasian Mining and Engineering Geophysics...</td>\n",
       "      <td>Bureau of Mineral Resources (BMR); Australasia...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>unknown aircraft</td>\n",
       "      <td>1965-08-01</td>\n",
       "      <td>1965-11-01</td>\n",
       "      <td>EPSG:4283</td>\n",
       "      <td>139.4414</td>\n",
       "      <td>141.0600</td>\n",
       "      <td>-24.0627</td>\n",
       "      <td>-21.9277</td>\n",
       "      <td>6400.0</td>\n",
       "      <td>6400.0</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>7825.0</td>\n",
       "      <td>1134.0</td>\n",
       "      <td>8959.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>155520.0</td>\n",
       "      <td>610.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>MNS-1</td>\n",
       "      <td>0.1 second</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>141290.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/141290</td>\n",
       "      <td>ee7d1512-9712-4099-adae-912587ef8da1</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-24.004146 139.441272, -23.998892 13...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>geophysical_survey_datasets.14613</td>\n",
       "      <td>14613</td>\n",
       "      <td>261567</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1087</td>\n",
       "      <td>Magnetic Grid of Western Australia, 2005</td>\n",
       "      <td>magnetic</td>\n",
       "      <td>TMI (total magnetic intensity)</td>\n",
       "      <td>grid</td>\n",
       "      <td>N</td>\n",
       "      <td>Western Australia onshore only magnetic grid g...</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>129376 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>WA</td>\n",
       "      <td>onshore and offshore</td>\n",
       "      <td>air</td>\n",
       "      <td>regional</td>\n",
       "      <td>Geoscience Australia</td>\n",
       "      <td>Geoscience Australia</td>\n",
       "      <td>Geoscience Australia</td>\n",
       "      <td>Geoscience Australia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>unknown aircraft</td>\n",
       "      <td>2005-09-01</td>\n",
       "      <td>2005-09-01</td>\n",
       "      <td>EPSG:4283</td>\n",
       "      <td>112.5025</td>\n",
       "      <td>129.5000</td>\n",
       "      <td>-36.0007</td>\n",
       "      <td>-10.9982</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unknown</td>\n",
       "      <td>0.1 second</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0025</td>\n",
       "      <td>266.0</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>http://dx.doi.org/10.4225/25/5625B0E260224</td>\n",
       "      <td>87092.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/87092</td>\n",
       "      <td>1f5e5ce8-541e-8e4e-e053-12a3070a72bc</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-35.258182 129.487526, -35.135718 11...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>geophysical_survey_datasets.14614</td>\n",
       "      <td>14614</td>\n",
       "      <td>261567</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1087</td>\n",
       "      <td>Magnetic Grid of Western Australia, 2005</td>\n",
       "      <td>magnetic</td>\n",
       "      <td>TMI (total magnetic intensity)</td>\n",
       "      <td>grid</td>\n",
       "      <td>N</td>\n",
       "      <td>Western Australia onshore plus marine magnetic...</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>216187 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>WA</td>\n",
       "      <td>onshore and offshore</td>\n",
       "      <td>air</td>\n",
       "      <td>regional</td>\n",
       "      <td>Geoscience Australia</td>\n",
       "      <td>Geoscience Australia</td>\n",
       "      <td>Geoscience Australia</td>\n",
       "      <td>Geoscience Australia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>unknown aircraft</td>\n",
       "      <td>2005-09-01</td>\n",
       "      <td>2005-09-01</td>\n",
       "      <td>EPSG:4283</td>\n",
       "      <td>110.9838</td>\n",
       "      <td>129.4238</td>\n",
       "      <td>-37.5688</td>\n",
       "      <td>-11.0638</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unknown</td>\n",
       "      <td>0.1 second</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0025</td>\n",
       "      <td>266.0</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87091.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/87091</td>\n",
       "      <td>1f5e5ce8-541d-8e4e-e053-12a3070a72bc</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-37.568019 110.98551, -37.56449 110....</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  FID  datasetno  survey_eno  \\\n",
       "4   geophysical_survey_datasets.14605      14605      228803   \n",
       "10  geophysical_survey_datasets.14611      14611      229003   \n",
       "11  geophysical_survey_datasets.15181      15181      228389   \n",
       "13  geophysical_survey_datasets.14613      14613      261567   \n",
       "14  geophysical_survey_datasets.14614      14614      261567   \n",
       "\n",
       "   constituent_surveys survey_id                               survey_name  \\\n",
       "4                  NaN      1000                    Julia Creek, QLD, 1999   \n",
       "10                 NaN      1035         Robinson Range - Belele, WA, 2003   \n",
       "11                 NaN       311           Great Artesian Basin, QLD, 1965   \n",
       "13                 NaN      1087  Magnetic Grid of Western Australia, 2005   \n",
       "14                 NaN      1087  Magnetic Grid of Western Australia, 2005   \n",
       "\n",
       "   measure_type                 measure_subtype dataset_type national_dataset  \\\n",
       "4      magnetic  TMI (total magnetic intensity)         grid                N   \n",
       "10     magnetic  TMI (total magnetic intensity)         grid                N   \n",
       "11     magnetic              magnetic line data         line                N   \n",
       "13     magnetic  TMI (total magnetic intensity)         grid                N   \n",
       "14     magnetic  TMI (total magnetic intensity)         grid                N   \n",
       "\n",
       "                             archive_file_description archive_file_format  \\\n",
       "4                  Julia Creek magnetic grid geodetic        NetCDF (.nc)   \n",
       "10       Robinson Range Belele Magnetic Grid Geodetic        NetCDF (.nc)   \n",
       "11  Great Artesian Basin, QLD, 1965 (P311), magnet...        NetCDF (.nc)   \n",
       "13  Western Australia onshore only magnetic grid g...        NetCDF (.nc)   \n",
       "14  Western Australia onshore plus marine magnetic...        NetCDF (.nc)   \n",
       "\n",
       "   datum_levelling                                   archive_location  \\\n",
       "4              NaN  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "10             NaN  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "11  AWAGS_MAG_2010  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "13             NaN  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "14             NaN  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "\n",
       "               archive_type  file_size country state      onshore_offshore  \\\n",
       "4   ANU NCI file repository    4237 KB     AUS   QLD               onshore   \n",
       "10  ANU NCI file repository    7114 KB     AUS    WA               onshore   \n",
       "11  ANU NCI file repository    1030 KB     AUS   QLD               onshore   \n",
       "13  ANU NCI file repository  129376 KB     AUS    WA  onshore and offshore   \n",
       "14  ANU NCI file repository  216187 KB     AUS    WA  onshore and offshore   \n",
       "\n",
       "   survey_type  survey_detail  \\\n",
       "4          air  semi-detailed   \n",
       "10         air  semi-detailed   \n",
       "11         air       regional   \n",
       "13         air       regional   \n",
       "14         air       regional   \n",
       "\n",
       "                                               owner  \\\n",
       "4   Australian Geological Survey Organisation (AGSO)   \n",
       "10                              Geoscience Australia   \n",
       "11                 Bureau of Mineral Resources (BMR)   \n",
       "13                              Geoscience Australia   \n",
       "14                              Geoscience Australia   \n",
       "\n",
       "                                            operator  \\\n",
       "4   Australian Geological Survey Organisation (AGSO)   \n",
       "10                              Geoscience Australia   \n",
       "11                 Bureau of Mineral Resources (BMR)   \n",
       "13                              Geoscience Australia   \n",
       "14                              Geoscience Australia   \n",
       "\n",
       "                                           contractor  \\\n",
       "4   Australian Geological Survey Organisation (AGS...   \n",
       "10                     Fugro Airborne Surveys Pty Ltd   \n",
       "11  Australasian Mining and Engineering Geophysics...   \n",
       "13                               Geoscience Australia   \n",
       "14                               Geoscience Australia   \n",
       "\n",
       "                                            processor  \\\n",
       "4   Australian Geological Survey Organisation (AGS...   \n",
       "10                     Fugro Airborne Surveys Pty Ltd   \n",
       "11  Bureau of Mineral Resources (BMR); Australasia...   \n",
       "13                               Geoscience Australia   \n",
       "14                               Geoscience Australia   \n",
       "\n",
       "                                               client        platform_type  \\\n",
       "4                                                 NaN  fixed wing aircraft   \n",
       "10  Department of Industry and Resources (Western ...  fixed wing aircraft   \n",
       "11                                                NaN  fixed wing aircraft   \n",
       "13                                                NaN  fixed wing aircraft   \n",
       "14                                                NaN  fixed wing aircraft   \n",
       "\n",
       "                     platform_name survey_start_date survey_end_date  \\\n",
       "4   Rockwell Aero Commander VH-BGE        1999-04-25      1999-06-06   \n",
       "10                  Aero Commander        2003-10-13      2003-11-01   \n",
       "11                unknown aircraft        1965-08-01      1965-11-01   \n",
       "13                unknown aircraft        2005-09-01      2005-09-01   \n",
       "14                unknown aircraft        2005-09-01      2005-09-01   \n",
       "\n",
       "    crs_datum  min_longitude_wgs84  max_longitude_wgs84  min_latitude_wgs84  \\\n",
       "4   EPSG:4326             140.9912             142.5111            -21.0120   \n",
       "10  EPSG:4283             116.5522             118.5214            -27.1584   \n",
       "11  EPSG:4283             139.4414             141.0600            -24.0627   \n",
       "13  EPSG:4283             112.5025             129.5000            -36.0007   \n",
       "14  EPSG:4283             110.9838             129.4238            -37.5688   \n",
       "\n",
       "    max_latitude_wgs84  min_line_spacing_m  max_line_spacing_m  tie_spacing_m  \\\n",
       "4             -19.9846               400.0               400.0         4000.0   \n",
       "10            -25.7298               400.0               400.0         4000.0   \n",
       "11            -21.9277              6400.0              6400.0        30000.0   \n",
       "13            -10.9982                 NaN                 NaN            NaN   \n",
       "14            -11.0638                 NaN                 NaN            NaN   \n",
       "\n",
       "    line_km   tie_km  total_km  line_azimuth  tie_azimuth  area_km2  \\\n",
       "4   44849.0   4548.0   49397.0          90.0          0.0   17323.0   \n",
       "10  29161.0  23860.0   53021.0           NaN          NaN    9753.0   \n",
       "11   7825.0   1134.0    8959.0          90.0          0.0  155520.0   \n",
       "13      NaN      NaN       NaN           NaN          NaN       NaN   \n",
       "14      NaN      NaN       NaN           NaN          NaN       NaN   \n",
       "\n",
       "    flight_height_asl  flight_height_agl     mag_instrument  \\\n",
       "4                 NaN               80.0  geoMetrics G-822A   \n",
       "10                NaN               60.0  geoMetrics G-823A   \n",
       "11              610.0              400.0              MNS-1   \n",
       "13                NaN                NaN            unknown   \n",
       "14                NaN                NaN            unknown   \n",
       "\n",
       "   mag_sample_interval rad_instrument rad_sample_interval  \\\n",
       "4           0.1 second            NaN                 NaN   \n",
       "10          0.1 second            NaN                 NaN   \n",
       "11          0.1 second            NaN                 NaN   \n",
       "13          0.1 second            NaN                 NaN   \n",
       "14          0.1 second            NaN                 NaN   \n",
       "\n",
       "   rad_crystal_volume_down rad_crystal_volume_up  grav_stations  \\\n",
       "4                      NaN                   NaN            NaN   \n",
       "10                     NaN                   NaN            NaN   \n",
       "11                     NaN                   NaN            NaN   \n",
       "13                     NaN                   NaN            NaN   \n",
       "14                     NaN                   NaN            NaN   \n",
       "\n",
       "    min_station_spacing_m  max_station_spacing_m grav_layout grav_instrument  \\\n",
       "4                     NaN                    NaN         NaN             NaN   \n",
       "10                    NaN                    NaN         NaN             NaN   \n",
       "11                    NaN                    NaN         NaN             NaN   \n",
       "13                    NaN                    NaN         NaN             NaN   \n",
       "14                    NaN                    NaN         NaN             NaN   \n",
       "\n",
       "    grav_reliability  em_system legislation  \\\n",
       "4                NaN        NaN         NaN   \n",
       "10               NaN        NaN         NaN   \n",
       "11               NaN        NaN         NaN   \n",
       "13               NaN        NaN         NaN   \n",
       "14               NaN        NaN         NaN   \n",
       "\n",
       "                                      survey_comments  cell_size_degrees  \\\n",
       "4                                                 NaN             0.0008   \n",
       "10  MAGIX # 60834 - 3 survey areas: North-West: li...             0.0008   \n",
       "11                                                NaN                NaN   \n",
       "13                                                NaN             0.0025   \n",
       "14                                                NaN             0.0025   \n",
       "\n",
       "    cell_size_m dataset_release_date  \\\n",
       "4          90.0           2020-09-01   \n",
       "10         88.0           2020-09-01   \n",
       "11          NaN           2020-09-01   \n",
       "13        266.0           2020-09-01   \n",
       "14        266.0           2020-09-01   \n",
       "\n",
       "                                              licence  wms  wcs  ncss  \\\n",
       "4   CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN   \n",
       "10  CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN   \n",
       "11  CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN   \n",
       "13  CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN   \n",
       "14  CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN   \n",
       "\n",
       "    opendap                                      file_download  \\\n",
       "4       NaN  http://dapds00.nci.org.au/thredds/fileServer/i...   \n",
       "10      NaN  http://dapds00.nci.org.au/thredds/fileServer/i...   \n",
       "11      NaN  http://dapds00.nci.org.au/thredds/fileServer/i...   \n",
       "13      NaN  http://dapds00.nci.org.au/thredds/fileServer/i...   \n",
       "14      NaN  http://dapds00.nci.org.au/thredds/fileServer/i...   \n",
       "\n",
       "                                           doi   ecat_id  \\\n",
       "4                                          NaN  142621.0   \n",
       "10                                         NaN  142415.0   \n",
       "11                                         NaN  141290.0   \n",
       "13  http://dx.doi.org/10.4225/25/5625B0E260224   87092.0   \n",
       "14                                         NaN   87091.0   \n",
       "\n",
       "                                          ecat_pid  \\\n",
       "4   http://pid.geoscience.gov.au/dataset/ga/142621   \n",
       "10  http://pid.geoscience.gov.au/dataset/ga/142415   \n",
       "11  http://pid.geoscience.gov.au/dataset/ga/141290   \n",
       "13   http://pid.geoscience.gov.au/dataset/ga/87092   \n",
       "14   http://pid.geoscience.gov.au/dataset/ga/87091   \n",
       "\n",
       "                               ecat_uuid dataset_qa_status  \\\n",
       "4   b21fbf84-39d6-4e6b-a6b6-e9aa91f18716                 U   \n",
       "10  7804eabe-0d11-4b39-87c5-ca4c218dffd3                 U   \n",
       "11  ee7d1512-9712-4099-adae-912587ef8da1                 U   \n",
       "13  1f5e5ce8-541e-8e4e-e053-12a3070a72bc                 U   \n",
       "14  1f5e5ce8-541d-8e4e-e053-12a3070a72bc                 U   \n",
       "\n",
       "                                             geometry  \n",
       "4   POLYGON ((-21.008457 140.991757, -21.007279 14...  \n",
       "10  POLYGON ((-27.158109 116.564455, -27.156931 11...  \n",
       "11  POLYGON ((-24.004146 139.441272, -23.998892 13...  \n",
       "13  POLYGON ((-35.258182 129.487526, -35.135718 11...  \n",
       "14  POLYGON ((-37.568019 110.98551, -37.56449 110....  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mag_surveys.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check if min and max line spacing are generally the same"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "mag_surveys_line = mag_surveys[mag_surveys['dataset_type'] == 'line']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='min_line_spacing_m', ylabel='max_line_spacing_m'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mag_surveys_line.plot.scatter('min_line_spacing_m','max_line_spacing_m')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It does appear that some have different values from survey combinations, etc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-21-3ed1b95d87f1>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  mag_surveys_line.sort_values(by='min_line_spacing_m', inplace=True)\n"
     ]
    }
   ],
   "source": [
    "mag_surveys_line.sort_values(by='min_line_spacing_m', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FID</th>\n",
       "      <th>datasetno</th>\n",
       "      <th>survey_eno</th>\n",
       "      <th>constituent_surveys</th>\n",
       "      <th>survey_id</th>\n",
       "      <th>survey_name</th>\n",
       "      <th>measure_type</th>\n",
       "      <th>measure_subtype</th>\n",
       "      <th>dataset_type</th>\n",
       "      <th>national_dataset</th>\n",
       "      <th>archive_file_description</th>\n",
       "      <th>archive_file_format</th>\n",
       "      <th>datum_levelling</th>\n",
       "      <th>archive_location</th>\n",
       "      <th>archive_type</th>\n",
       "      <th>file_size</th>\n",
       "      <th>country</th>\n",
       "      <th>state</th>\n",
       "      <th>onshore_offshore</th>\n",
       "      <th>survey_type</th>\n",
       "      <th>survey_detail</th>\n",
       "      <th>owner</th>\n",
       "      <th>operator</th>\n",
       "      <th>contractor</th>\n",
       "      <th>processor</th>\n",
       "      <th>client</th>\n",
       "      <th>platform_type</th>\n",
       "      <th>platform_name</th>\n",
       "      <th>survey_start_date</th>\n",
       "      <th>survey_end_date</th>\n",
       "      <th>crs_datum</th>\n",
       "      <th>min_longitude_wgs84</th>\n",
       "      <th>max_longitude_wgs84</th>\n",
       "      <th>min_latitude_wgs84</th>\n",
       "      <th>max_latitude_wgs84</th>\n",
       "      <th>min_line_spacing_m</th>\n",
       "      <th>max_line_spacing_m</th>\n",
       "      <th>tie_spacing_m</th>\n",
       "      <th>line_km</th>\n",
       "      <th>tie_km</th>\n",
       "      <th>total_km</th>\n",
       "      <th>line_azimuth</th>\n",
       "      <th>tie_azimuth</th>\n",
       "      <th>area_km2</th>\n",
       "      <th>flight_height_asl</th>\n",
       "      <th>flight_height_agl</th>\n",
       "      <th>mag_instrument</th>\n",
       "      <th>mag_sample_interval</th>\n",
       "      <th>rad_instrument</th>\n",
       "      <th>rad_sample_interval</th>\n",
       "      <th>rad_crystal_volume_down</th>\n",
       "      <th>rad_crystal_volume_up</th>\n",
       "      <th>grav_stations</th>\n",
       "      <th>min_station_spacing_m</th>\n",
       "      <th>max_station_spacing_m</th>\n",
       "      <th>grav_layout</th>\n",
       "      <th>grav_instrument</th>\n",
       "      <th>grav_reliability</th>\n",
       "      <th>em_system</th>\n",
       "      <th>legislation</th>\n",
       "      <th>survey_comments</th>\n",
       "      <th>cell_size_degrees</th>\n",
       "      <th>cell_size_m</th>\n",
       "      <th>dataset_release_date</th>\n",
       "      <th>licence</th>\n",
       "      <th>wms</th>\n",
       "      <th>wcs</th>\n",
       "      <th>ncss</th>\n",
       "      <th>opendap</th>\n",
       "      <th>file_download</th>\n",
       "      <th>doi</th>\n",
       "      <th>ecat_id</th>\n",
       "      <th>ecat_pid</th>\n",
       "      <th>ecat_uuid</th>\n",
       "      <th>dataset_qa_status</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2216</th>\n",
       "      <td>geophysical_survey_datasets.17620</td>\n",
       "      <td>17620</td>\n",
       "      <td>606678</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1292</td>\n",
       "      <td>Isa Region Airborne Magnetic Radiometric and D...</td>\n",
       "      <td>magnetic</td>\n",
       "      <td>magnetic line data</td>\n",
       "      <td>line</td>\n",
       "      <td>N</td>\n",
       "      <td>GSQ Isa Region Cloncurry, 2017 (P1292), magnet...</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>712604 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>QLD</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Geological Survey of Queensland (GSQ)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GPX Surveys Pty Ltd</td>\n",
       "      <td>GPX Surveys Pty Ltd</td>\n",
       "      <td>Geological Survey of Queensland (GSQ)</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>Cessna 210L Centurion VH-IBY</td>\n",
       "      <td>2017-07-10</td>\n",
       "      <td>2018-04-30</td>\n",
       "      <td>EPSG:4283</td>\n",
       "      <td>140.2277</td>\n",
       "      <td>141.0320</td>\n",
       "      <td>-22.0038</td>\n",
       "      <td>-20.5766</td>\n",
       "      <td>50.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103119.0</td>\n",
       "      <td>10268.0</td>\n",
       "      <td>113387.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10475.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>0.1 second</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Survey has two blocks - Mary Kathleen and the ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Geological Survey of Queensland</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>143465.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/143465</td>\n",
       "      <td>f918881c-c0b5-483e-a7c0-ab54030e4cdf</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-20.589944 140.227436, -20.578376 14...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2217</th>\n",
       "      <td>geophysical_survey_datasets.17621</td>\n",
       "      <td>17621</td>\n",
       "      <td>606678</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1292</td>\n",
       "      <td>Isa Region Airborne Magnetic Radiometric and D...</td>\n",
       "      <td>magnetic</td>\n",
       "      <td>magnetic line data</td>\n",
       "      <td>line</td>\n",
       "      <td>N</td>\n",
       "      <td>GSQ Isa Region Mary Kathleen, 2017 (P1292), ma...</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>27768 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>QLD</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Geological Survey of Queensland (GSQ)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GPX Surveys Pty Ltd</td>\n",
       "      <td>GPX Surveys Pty Ltd</td>\n",
       "      <td>Geological Survey of Queensland (GSQ)</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>Cessna 210L Centurion VH-IBY</td>\n",
       "      <td>2017-07-10</td>\n",
       "      <td>2018-04-30</td>\n",
       "      <td>EPSG:4283</td>\n",
       "      <td>139.9489</td>\n",
       "      <td>140.1129</td>\n",
       "      <td>-20.8583</td>\n",
       "      <td>-20.6596</td>\n",
       "      <td>50.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103119.0</td>\n",
       "      <td>10268.0</td>\n",
       "      <td>113387.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10475.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>0.1 second</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Survey has two blocks - Mary Kathleen and the ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Geological Survey of Queensland</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>143464.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/143464</td>\n",
       "      <td>beee7c49-a3a4-4dbb-8102-592ed9d49130</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-20.840585 139.948408, -20.661139 13...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1736</th>\n",
       "      <td>geophysical_survey_datasets.16961</td>\n",
       "      <td>16961</td>\n",
       "      <td>361288</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1103</td>\n",
       "      <td>Tennant Creek, NT, DME Test, 1996</td>\n",
       "      <td>magnetic</td>\n",
       "      <td>magnetic line data</td>\n",
       "      <td>line</td>\n",
       "      <td>N</td>\n",
       "      <td>Tennant Creek, NT, DME Test, 1996 (P1103), mag...</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>AWAGS_MAG_2010</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>3388 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>NT</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>detailed</td>\n",
       "      <td>Northern Territory of Australia (Northern Terr...</td>\n",
       "      <td>Northern Territory of Australia (Northern Terr...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1996-06-01</td>\n",
       "      <td>1996-12-31</td>\n",
       "      <td>EPSG:4283</td>\n",
       "      <td>134.2743</td>\n",
       "      <td>134.3641</td>\n",
       "      <td>-19.6248</td>\n",
       "      <td>-19.5650</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1213.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>1335.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>143192.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/143192</td>\n",
       "      <td>c447ba68-be21-4109-8329-b9c3cbc4e4a4</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-19.618996 134.274031, -19.566896 13...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3609</th>\n",
       "      <td>geophysical_survey_datasets.19592</td>\n",
       "      <td>19592</td>\n",
       "      <td>228926</td>\n",
       "      <td>NaN</td>\n",
       "      <td>864</td>\n",
       "      <td>Wolfe Creek Crater, WA, 2002</td>\n",
       "      <td>magnetic</td>\n",
       "      <td>magnetic line data</td>\n",
       "      <td>line</td>\n",
       "      <td>N</td>\n",
       "      <td>Wolfe Creek Crater, WA, 2002 (P864), magnetic ...</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>AWAGS_MAG_2010</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>1199 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>WA</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>detailed</td>\n",
       "      <td>Geological Survey of Western Australia (GSWA);...</td>\n",
       "      <td>Geological Survey of Western Australia (GSWA);...</td>\n",
       "      <td>UTS Geophysics Pty Ltd</td>\n",
       "      <td>Baigent Geosciences Pty Ltd</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>Fletcher FU24-954 VH-HVP</td>\n",
       "      <td>2002-07-19</td>\n",
       "      <td>2002-07-19</td>\n",
       "      <td>EPSG:4283</td>\n",
       "      <td>127.7749</td>\n",
       "      <td>127.8170</td>\n",
       "      <td>-19.1921</td>\n",
       "      <td>-19.1521</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>367.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>Scintrex CS-2</td>\n",
       "      <td>0.1 second</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>142694.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/142694</td>\n",
       "      <td>a07ee578-b932-429e-878e-b7f22a212df7</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-19.167252 127.774886, -19.156112 12...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>956</th>\n",
       "      <td>geophysical_survey_datasets.15970</td>\n",
       "      <td>15970</td>\n",
       "      <td>228737</td>\n",
       "      <td>NaN</td>\n",
       "      <td>697</td>\n",
       "      <td>West Wyalong Detail, NSW, 1998</td>\n",
       "      <td>magnetic</td>\n",
       "      <td>magnetic line data</td>\n",
       "      <td>line</td>\n",
       "      <td>N</td>\n",
       "      <td>West Wyalong Detail, NSW, 1998 (P697), magneti...</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>AWAGS_MAG_2010</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>22693 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>NSW</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>detailed</td>\n",
       "      <td>Australian Geological Survey Organisation (AGSO)</td>\n",
       "      <td>Australian Geological Survey Organisation (AGSO)</td>\n",
       "      <td>Australian Geological Survey Organisation (AGS...</td>\n",
       "      <td>Australian Geological Survey Organisation (AGSO)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>Rockwell Aero Commander VH-BGE</td>\n",
       "      <td>1998-11-10</td>\n",
       "      <td>1998-11-14</td>\n",
       "      <td>EPSG:4283</td>\n",
       "      <td>147.0530</td>\n",
       "      <td>147.3401</td>\n",
       "      <td>-33.9202</td>\n",
       "      <td>-33.6994</td>\n",
       "      <td>50.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>7372.0</td>\n",
       "      <td>447.0</td>\n",
       "      <td>7819.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>385.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>geoMetrics G-822A</td>\n",
       "      <td>0.1 second</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>141398.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/141398</td>\n",
       "      <td>7d8a694d-36e9-4351-a22f-948e2d2aabdb</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-33.866347 147.053185, -33.86576 147...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>980</th>\n",
       "      <td>geophysical_survey_datasets.16018</td>\n",
       "      <td>16018</td>\n",
       "      <td>228890</td>\n",
       "      <td>NaN</td>\n",
       "      <td>909</td>\n",
       "      <td>SMMSP - MagSpec - Angas Bremer Plains, SA, 200...</td>\n",
       "      <td>magnetic</td>\n",
       "      <td>magnetic line data</td>\n",
       "      <td>line</td>\n",
       "      <td>N</td>\n",
       "      <td>SMMSP - MagSpec - Angas Bremer Plains, SA, 200...</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>AWAGS_MAG_2010</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>18680 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>SA</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>detailed</td>\n",
       "      <td>Bureau of Rural Sciences</td>\n",
       "      <td>Bureau of Rural Sciences</td>\n",
       "      <td>Fugro Airborne Surveys Pty Ltd</td>\n",
       "      <td>Fugro Airborne Surveys Pty Ltd</td>\n",
       "      <td>Bureau of Rural Sciences</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>Rockwell Aero Commander Shrike 500S VH-WAM</td>\n",
       "      <td>2002-06-20</td>\n",
       "      <td>2002-08-02</td>\n",
       "      <td>EPSG:4283</td>\n",
       "      <td>138.7708</td>\n",
       "      <td>139.1877</td>\n",
       "      <td>-35.4256</td>\n",
       "      <td>-35.1279</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>7535.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7535.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>663.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>geoMetrics G-822; Scintrex CS-2</td>\n",
       "      <td>0.1 second</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>142651.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/142651</td>\n",
       "      <td>8045628a-0c70-4ccf-99d4-1e2b4902b67e</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-35.272592 138.770643, -35.268267 13...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>977</th>\n",
       "      <td>geophysical_survey_datasets.16008</td>\n",
       "      <td>16008</td>\n",
       "      <td>228888</td>\n",
       "      <td>NaN</td>\n",
       "      <td>907</td>\n",
       "      <td>SMMSP - MagSpec - Honeysuckle Creek, Vic, 2001</td>\n",
       "      <td>magnetic</td>\n",
       "      <td>magnetic line data</td>\n",
       "      <td>line</td>\n",
       "      <td>N</td>\n",
       "      <td>SMMSP - MagSpec - Honeysuckle Creek, Vic, 2001...</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>AWAGS_MAG_2010</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>34302 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>VIC</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>detailed</td>\n",
       "      <td>Bureau of Rural Sciences</td>\n",
       "      <td>Bureau of Rural Sciences</td>\n",
       "      <td>Kevron Geophysics Pty Ltd</td>\n",
       "      <td>Kevron Geophysics Pty Ltd</td>\n",
       "      <td>Commonwealth of Australia</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>Rockwell Aero Commander Shrike 500S VH-KAC</td>\n",
       "      <td>2001-04-26</td>\n",
       "      <td>2001-08-27</td>\n",
       "      <td>EPSG:4283</td>\n",
       "      <td>145.3458</td>\n",
       "      <td>145.9165</td>\n",
       "      <td>-36.7730</td>\n",
       "      <td>-36.3998</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>13448.0</td>\n",
       "      <td>1347.0</td>\n",
       "      <td>14795.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1126.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>0.1 second</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>142667.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/142667</td>\n",
       "      <td>3b2c4a31-b075-496a-9db6-cd885631a3a1</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-36.570941 145.345675, -36.567616 14...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>geophysical_survey_datasets.16003</td>\n",
       "      <td>16003</td>\n",
       "      <td>228876</td>\n",
       "      <td>NaN</td>\n",
       "      <td>906</td>\n",
       "      <td>SMMSP - MagSpec - St George, Qld, 2001</td>\n",
       "      <td>magnetic</td>\n",
       "      <td>magnetic line data</td>\n",
       "      <td>line</td>\n",
       "      <td>N</td>\n",
       "      <td>SMMSP - MagSpec - St George, Qld, 2001 (P906),...</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>AWAGS_MAG_2010</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>142165 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>QLD</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>semi-detailed</td>\n",
       "      <td>Bureau of Rural Sciences</td>\n",
       "      <td>Bureau of Rural Sciences</td>\n",
       "      <td>Tesla Airborne Geoscience Pty Ltd</td>\n",
       "      <td>Tesla Airborne Geoscience Pty Ltd</td>\n",
       "      <td>Commonwealth of Australia</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>Cessna 210N Centurion VH-BNZ</td>\n",
       "      <td>2001-04-26</td>\n",
       "      <td>2001-08-16</td>\n",
       "      <td>EPSG:4283</td>\n",
       "      <td>147.7748</td>\n",
       "      <td>149.2506</td>\n",
       "      <td>-28.9002</td>\n",
       "      <td>-27.6317</td>\n",
       "      <td>100.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55163.0</td>\n",
       "      <td>5947.0</td>\n",
       "      <td>61110.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8736.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>0.1 second</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>142676.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/142676</td>\n",
       "      <td>3ac9e397-6601-4680-83e4-ad28a543b967</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-28.382867 147.774562, -28.374916 14...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2486</th>\n",
       "      <td>geophysical_survey_datasets.18028</td>\n",
       "      <td>18028</td>\n",
       "      <td>228771</td>\n",
       "      <td>NaN</td>\n",
       "      <td>750</td>\n",
       "      <td>SAEI (MESA) - Broken Hill Exploration Initiati...</td>\n",
       "      <td>magnetic</td>\n",
       "      <td>magnetic line data</td>\n",
       "      <td>line</td>\n",
       "      <td>N</td>\n",
       "      <td>SAEI (MESA) - Broken Hill Exploration Initiati...</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>AWAGS_MAG_2010</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>203554 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>SA</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>detailed</td>\n",
       "      <td>Department of Mines and Energy South Australia...</td>\n",
       "      <td>Department of Mines and Energy South Australia...</td>\n",
       "      <td>World Geoscience Corporation Pty Ltd</td>\n",
       "      <td>Pitt Street Research Pty Ltd; WGC AUST Pty Ltd</td>\n",
       "      <td>Department of Mines and Energy South Australia...</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>Cessna U206G Stationair VH-AZG</td>\n",
       "      <td>1995-03-01</td>\n",
       "      <td>1995-07-01</td>\n",
       "      <td>EPSG:4283</td>\n",
       "      <td>139.6436</td>\n",
       "      <td>141.0569</td>\n",
       "      <td>-32.5591</td>\n",
       "      <td>-31.7144</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>56490.0</td>\n",
       "      <td>6184.0</td>\n",
       "      <td>62674.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>Scintrex CS-2</td>\n",
       "      <td>0.1 second</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>142080.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/142080</td>\n",
       "      <td>891a59d3-f6e6-4942-b8bf-8c9a9d9213a8</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-31.951277 139.643398, -31.949107 13...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3710</th>\n",
       "      <td>geophysical_survey_datasets.19478</td>\n",
       "      <td>19478</td>\n",
       "      <td>570943</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1259</td>\n",
       "      <td>Widgiemooltha North, WA, 2013</td>\n",
       "      <td>magnetic</td>\n",
       "      <td>magnetic line data</td>\n",
       "      <td>line</td>\n",
       "      <td>N</td>\n",
       "      <td>Widgiemooltha North, WA, 2013 (P1259), magneti...</td>\n",
       "      <td>NetCDF (.nc)</td>\n",
       "      <td>AWAGS_MAG_2010</td>\n",
       "      <td>/g/data/iv65/Geoscience_Australia_Geophysics_R...</td>\n",
       "      <td>ANU NCI file repository</td>\n",
       "      <td>408861 KB</td>\n",
       "      <td>AUS</td>\n",
       "      <td>WA</td>\n",
       "      <td>onshore</td>\n",
       "      <td>air</td>\n",
       "      <td>detailed</td>\n",
       "      <td>Geological Survey of Western Australia (GSWA)</td>\n",
       "      <td>Geological Survey of Western Australia (GSWA)</td>\n",
       "      <td>UTS Geophysics Pty Ltd</td>\n",
       "      <td>UTS Geophysics Pty Ltd</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fixed wing aircraft</td>\n",
       "      <td>Cessna 206H Stationair VH-UTQ</td>\n",
       "      <td>2013-07-25</td>\n",
       "      <td>2014-01-28</td>\n",
       "      <td>EPSG:4283</td>\n",
       "      <td>121.4795</td>\n",
       "      <td>123.0128</td>\n",
       "      <td>-31.5198</td>\n",
       "      <td>-30.9802</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>84187.0</td>\n",
       "      <td>8581.0</td>\n",
       "      <td>92768.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8200.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WAEIS Phase 5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>CC BY 4.0 © Commonwealth of Australia (Geoscie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dapds00.nci.org.au/thredds/fileServer/i...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>143615.0</td>\n",
       "      <td>http://pid.geoscience.gov.au/dataset/ga/143615</td>\n",
       "      <td>13051346-121d-4cbc-ae4b-55212a62abb4</td>\n",
       "      <td>U</td>\n",
       "      <td>POLYGON ((-31.486388 121.479079, -30.985005 12...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    FID  datasetno  survey_eno  \\\n",
       "2216  geophysical_survey_datasets.17620      17620      606678   \n",
       "2217  geophysical_survey_datasets.17621      17621      606678   \n",
       "1736  geophysical_survey_datasets.16961      16961      361288   \n",
       "3609  geophysical_survey_datasets.19592      19592      228926   \n",
       "956   geophysical_survey_datasets.15970      15970      228737   \n",
       "980   geophysical_survey_datasets.16018      16018      228890   \n",
       "977   geophysical_survey_datasets.16008      16008      228888   \n",
       "974   geophysical_survey_datasets.16003      16003      228876   \n",
       "2486  geophysical_survey_datasets.18028      18028      228771   \n",
       "3710  geophysical_survey_datasets.19478      19478      570943   \n",
       "\n",
       "     constituent_surveys survey_id  \\\n",
       "2216                 NaN      1292   \n",
       "2217                 NaN      1292   \n",
       "1736                 NaN      1103   \n",
       "3609                 NaN       864   \n",
       "956                  NaN       697   \n",
       "980                  NaN       909   \n",
       "977                  NaN       907   \n",
       "974                  NaN       906   \n",
       "2486                 NaN       750   \n",
       "3710                 NaN      1259   \n",
       "\n",
       "                                            survey_name measure_type  \\\n",
       "2216  Isa Region Airborne Magnetic Radiometric and D...     magnetic   \n",
       "2217  Isa Region Airborne Magnetic Radiometric and D...     magnetic   \n",
       "1736                  Tennant Creek, NT, DME Test, 1996     magnetic   \n",
       "3609                       Wolfe Creek Crater, WA, 2002     magnetic   \n",
       "956                      West Wyalong Detail, NSW, 1998     magnetic   \n",
       "980   SMMSP - MagSpec - Angas Bremer Plains, SA, 200...     magnetic   \n",
       "977      SMMSP - MagSpec - Honeysuckle Creek, Vic, 2001     magnetic   \n",
       "974              SMMSP - MagSpec - St George, Qld, 2001     magnetic   \n",
       "2486  SAEI (MESA) - Broken Hill Exploration Initiati...     magnetic   \n",
       "3710                      Widgiemooltha North, WA, 2013     magnetic   \n",
       "\n",
       "         measure_subtype dataset_type national_dataset  \\\n",
       "2216  magnetic line data         line                N   \n",
       "2217  magnetic line data         line                N   \n",
       "1736  magnetic line data         line                N   \n",
       "3609  magnetic line data         line                N   \n",
       "956   magnetic line data         line                N   \n",
       "980   magnetic line data         line                N   \n",
       "977   magnetic line data         line                N   \n",
       "974   magnetic line data         line                N   \n",
       "2486  magnetic line data         line                N   \n",
       "3710  magnetic line data         line                N   \n",
       "\n",
       "                               archive_file_description archive_file_format  \\\n",
       "2216  GSQ Isa Region Cloncurry, 2017 (P1292), magnet...        NetCDF (.nc)   \n",
       "2217  GSQ Isa Region Mary Kathleen, 2017 (P1292), ma...        NetCDF (.nc)   \n",
       "1736  Tennant Creek, NT, DME Test, 1996 (P1103), mag...        NetCDF (.nc)   \n",
       "3609  Wolfe Creek Crater, WA, 2002 (P864), magnetic ...        NetCDF (.nc)   \n",
       "956   West Wyalong Detail, NSW, 1998 (P697), magneti...        NetCDF (.nc)   \n",
       "980   SMMSP - MagSpec - Angas Bremer Plains, SA, 200...        NetCDF (.nc)   \n",
       "977   SMMSP - MagSpec - Honeysuckle Creek, Vic, 2001...        NetCDF (.nc)   \n",
       "974   SMMSP - MagSpec - St George, Qld, 2001 (P906),...        NetCDF (.nc)   \n",
       "2486  SAEI (MESA) - Broken Hill Exploration Initiati...        NetCDF (.nc)   \n",
       "3710  Widgiemooltha North, WA, 2013 (P1259), magneti...        NetCDF (.nc)   \n",
       "\n",
       "     datum_levelling                                   archive_location  \\\n",
       "2216             NaN  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "2217             NaN  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "1736  AWAGS_MAG_2010  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "3609  AWAGS_MAG_2010  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "956   AWAGS_MAG_2010  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "980   AWAGS_MAG_2010  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "977   AWAGS_MAG_2010  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "974   AWAGS_MAG_2010  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "2486  AWAGS_MAG_2010  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "3710  AWAGS_MAG_2010  /g/data/iv65/Geoscience_Australia_Geophysics_R...   \n",
       "\n",
       "                 archive_type  file_size country state onshore_offshore  \\\n",
       "2216  ANU NCI file repository  712604 KB     AUS   QLD          onshore   \n",
       "2217  ANU NCI file repository   27768 KB     AUS   QLD          onshore   \n",
       "1736  ANU NCI file repository    3388 KB     AUS    NT          onshore   \n",
       "3609  ANU NCI file repository    1199 KB     AUS    WA          onshore   \n",
       "956   ANU NCI file repository   22693 KB     AUS   NSW          onshore   \n",
       "980   ANU NCI file repository   18680 KB     AUS    SA          onshore   \n",
       "977   ANU NCI file repository   34302 KB     AUS   VIC          onshore   \n",
       "974   ANU NCI file repository  142165 KB     AUS   QLD          onshore   \n",
       "2486  ANU NCI file repository  203554 KB     AUS    SA          onshore   \n",
       "3710  ANU NCI file repository  408861 KB     AUS    WA          onshore   \n",
       "\n",
       "     survey_type  survey_detail  \\\n",
       "2216         air            NaN   \n",
       "2217         air            NaN   \n",
       "1736         air       detailed   \n",
       "3609         air       detailed   \n",
       "956          air       detailed   \n",
       "980          air       detailed   \n",
       "977          air       detailed   \n",
       "974          air  semi-detailed   \n",
       "2486         air       detailed   \n",
       "3710         air       detailed   \n",
       "\n",
       "                                                  owner  \\\n",
       "2216              Geological Survey of Queensland (GSQ)   \n",
       "2217              Geological Survey of Queensland (GSQ)   \n",
       "1736  Northern Territory of Australia (Northern Terr...   \n",
       "3609  Geological Survey of Western Australia (GSWA);...   \n",
       "956    Australian Geological Survey Organisation (AGSO)   \n",
       "980                            Bureau of Rural Sciences   \n",
       "977                            Bureau of Rural Sciences   \n",
       "974                            Bureau of Rural Sciences   \n",
       "2486  Department of Mines and Energy South Australia...   \n",
       "3710      Geological Survey of Western Australia (GSWA)   \n",
       "\n",
       "                                               operator  \\\n",
       "2216                                                NaN   \n",
       "2217                                                NaN   \n",
       "1736  Northern Territory of Australia (Northern Terr...   \n",
       "3609  Geological Survey of Western Australia (GSWA);...   \n",
       "956    Australian Geological Survey Organisation (AGSO)   \n",
       "980                            Bureau of Rural Sciences   \n",
       "977                            Bureau of Rural Sciences   \n",
       "974                            Bureau of Rural Sciences   \n",
       "2486  Department of Mines and Energy South Australia...   \n",
       "3710      Geological Survey of Western Australia (GSWA)   \n",
       "\n",
       "                                             contractor  \\\n",
       "2216                                GPX Surveys Pty Ltd   \n",
       "2217                                GPX Surveys Pty Ltd   \n",
       "1736                                                NaN   \n",
       "3609                             UTS Geophysics Pty Ltd   \n",
       "956   Australian Geological Survey Organisation (AGS...   \n",
       "980                      Fugro Airborne Surveys Pty Ltd   \n",
       "977                           Kevron Geophysics Pty Ltd   \n",
       "974                   Tesla Airborne Geoscience Pty Ltd   \n",
       "2486               World Geoscience Corporation Pty Ltd   \n",
       "3710                             UTS Geophysics Pty Ltd   \n",
       "\n",
       "                                             processor  \\\n",
       "2216                               GPX Surveys Pty Ltd   \n",
       "2217                               GPX Surveys Pty Ltd   \n",
       "1736                                               NaN   \n",
       "3609                       Baigent Geosciences Pty Ltd   \n",
       "956   Australian Geological Survey Organisation (AGSO)   \n",
       "980                     Fugro Airborne Surveys Pty Ltd   \n",
       "977                          Kevron Geophysics Pty Ltd   \n",
       "974                  Tesla Airborne Geoscience Pty Ltd   \n",
       "2486    Pitt Street Research Pty Ltd; WGC AUST Pty Ltd   \n",
       "3710                            UTS Geophysics Pty Ltd   \n",
       "\n",
       "                                                 client        platform_type  \\\n",
       "2216              Geological Survey of Queensland (GSQ)  fixed wing aircraft   \n",
       "2217              Geological Survey of Queensland (GSQ)  fixed wing aircraft   \n",
       "1736                                                NaN                  NaN   \n",
       "3609                                                NaN  fixed wing aircraft   \n",
       "956                                                 NaN  fixed wing aircraft   \n",
       "980                            Bureau of Rural Sciences  fixed wing aircraft   \n",
       "977                           Commonwealth of Australia  fixed wing aircraft   \n",
       "974                           Commonwealth of Australia  fixed wing aircraft   \n",
       "2486  Department of Mines and Energy South Australia...  fixed wing aircraft   \n",
       "3710                                                NaN  fixed wing aircraft   \n",
       "\n",
       "                                   platform_name survey_start_date  \\\n",
       "2216                Cessna 210L Centurion VH-IBY        2017-07-10   \n",
       "2217                Cessna 210L Centurion VH-IBY        2017-07-10   \n",
       "1736                                         NaN        1996-06-01   \n",
       "3609                    Fletcher FU24-954 VH-HVP        2002-07-19   \n",
       "956               Rockwell Aero Commander VH-BGE        1998-11-10   \n",
       "980   Rockwell Aero Commander Shrike 500S VH-WAM        2002-06-20   \n",
       "977   Rockwell Aero Commander Shrike 500S VH-KAC        2001-04-26   \n",
       "974                 Cessna 210N Centurion VH-BNZ        2001-04-26   \n",
       "2486              Cessna U206G Stationair VH-AZG        1995-03-01   \n",
       "3710               Cessna 206H Stationair VH-UTQ        2013-07-25   \n",
       "\n",
       "     survey_end_date  crs_datum  min_longitude_wgs84  max_longitude_wgs84  \\\n",
       "2216      2018-04-30  EPSG:4283             140.2277             141.0320   \n",
       "2217      2018-04-30  EPSG:4283             139.9489             140.1129   \n",
       "1736      1996-12-31  EPSG:4283             134.2743             134.3641   \n",
       "3609      2002-07-19  EPSG:4283             127.7749             127.8170   \n",
       "956       1998-11-14  EPSG:4283             147.0530             147.3401   \n",
       "980       2002-08-02  EPSG:4283             138.7708             139.1877   \n",
       "977       2001-08-27  EPSG:4283             145.3458             145.9165   \n",
       "974       2001-08-16  EPSG:4283             147.7748             149.2506   \n",
       "2486      1995-07-01  EPSG:4283             139.6436             141.0569   \n",
       "3710      2014-01-28  EPSG:4283             121.4795             123.0128   \n",
       "\n",
       "      min_latitude_wgs84  max_latitude_wgs84  min_line_spacing_m  \\\n",
       "2216            -22.0038            -20.5766                50.0   \n",
       "2217            -20.8583            -20.6596                50.0   \n",
       "1736            -19.6248            -19.5650                50.0   \n",
       "3609            -19.1921            -19.1521                50.0   \n",
       "956             -33.9202            -33.6994                50.0   \n",
       "980             -35.4256            -35.1279               100.0   \n",
       "977             -36.7730            -36.3998               100.0   \n",
       "974             -28.9002            -27.6317               100.0   \n",
       "2486            -32.5591            -31.7144               100.0   \n",
       "3710            -31.5198            -30.9802               100.0   \n",
       "\n",
       "      max_line_spacing_m  tie_spacing_m   line_km   tie_km  total_km  \\\n",
       "2216               100.0            NaN  103119.0  10268.0  113387.0   \n",
       "2217               100.0            NaN  103119.0  10268.0  113387.0   \n",
       "1736                50.0            NaN    1213.0    122.0    1335.0   \n",
       "3609                50.0          500.0      35.0    367.0     402.0   \n",
       "956                100.0         1000.0    7372.0    447.0    7819.0   \n",
       "980                100.0         4000.0    7535.0      0.0    7535.0   \n",
       "977                100.0         1000.0   13448.0   1347.0   14795.0   \n",
       "974                400.0            NaN   55163.0   5947.0   61110.0   \n",
       "2486               100.0         1000.0   56490.0   6184.0   62674.0   \n",
       "3710               100.0         1000.0   84187.0   8581.0   92768.0   \n",
       "\n",
       "      line_azimuth  tie_azimuth  area_km2  flight_height_asl  \\\n",
       "2216          90.0          0.0   10475.0                NaN   \n",
       "2217          90.0          0.0   10475.0                NaN   \n",
       "1736           0.0         90.0       NaN                NaN   \n",
       "3609           0.0          NaN      16.0                NaN   \n",
       "956           90.0          0.0     385.0                NaN   \n",
       "980           57.0        147.0     663.0                NaN   \n",
       "977           90.0          0.0    1126.0                NaN   \n",
       "974          137.0          0.0    8736.0                NaN   \n",
       "2486           NaN          NaN       NaN                NaN   \n",
       "3710          90.0          0.0    8200.0                NaN   \n",
       "\n",
       "      flight_height_agl                   mag_instrument mag_sample_interval  \\\n",
       "2216               50.0                          unknown          0.1 second   \n",
       "2217               50.0                          unknown          0.1 second   \n",
       "1736               50.0                          unknown                 NaN   \n",
       "3609               40.0                    Scintrex CS-2          0.1 second   \n",
       "956                60.0                geoMetrics G-822A          0.1 second   \n",
       "980                60.0  geoMetrics G-822; Scintrex CS-2          0.1 second   \n",
       "977                60.0                          unknown          0.1 second   \n",
       "974                60.0                          unknown          0.1 second   \n",
       "2486               60.0                    Scintrex CS-2          0.1 second   \n",
       "3710               50.0                              NaN                 NaN   \n",
       "\n",
       "     rad_instrument rad_sample_interval rad_crystal_volume_down  \\\n",
       "2216            NaN                 NaN                     NaN   \n",
       "2217            NaN                 NaN                     NaN   \n",
       "1736            NaN                 NaN                     NaN   \n",
       "3609            NaN                 NaN                     NaN   \n",
       "956             NaN                 NaN                     NaN   \n",
       "980             NaN                 NaN                     NaN   \n",
       "977             NaN                 NaN                     NaN   \n",
       "974             NaN                 NaN                     NaN   \n",
       "2486            NaN                 NaN                     NaN   \n",
       "3710            NaN                 NaN                     NaN   \n",
       "\n",
       "     rad_crystal_volume_up  grav_stations  min_station_spacing_m  \\\n",
       "2216                   NaN            NaN                    NaN   \n",
       "2217                   NaN            NaN                    NaN   \n",
       "1736                   NaN            NaN                    NaN   \n",
       "3609                   NaN            NaN                    NaN   \n",
       "956                    NaN            NaN                    NaN   \n",
       "980                    NaN            NaN                    NaN   \n",
       "977                    NaN            NaN                    NaN   \n",
       "974                    NaN            NaN                    NaN   \n",
       "2486                   NaN            NaN                    NaN   \n",
       "3710                   NaN            NaN                    NaN   \n",
       "\n",
       "      max_station_spacing_m grav_layout grav_instrument  grav_reliability  \\\n",
       "2216                    NaN         NaN             NaN               NaN   \n",
       "2217                    NaN         NaN             NaN               NaN   \n",
       "1736                    NaN         NaN             NaN               NaN   \n",
       "3609                    NaN         NaN             NaN               NaN   \n",
       "956                     NaN         NaN             NaN               NaN   \n",
       "980                     NaN         NaN             NaN               NaN   \n",
       "977                     NaN         NaN             NaN               NaN   \n",
       "974                     NaN         NaN             NaN               NaN   \n",
       "2486                    NaN         NaN             NaN               NaN   \n",
       "3710                    NaN         NaN             NaN               NaN   \n",
       "\n",
       "      em_system legislation  \\\n",
       "2216        NaN         NaN   \n",
       "2217        NaN         NaN   \n",
       "1736        NaN         NaN   \n",
       "3609        NaN         NaN   \n",
       "956         NaN         NaN   \n",
       "980         NaN         NaN   \n",
       "977         NaN         NaN   \n",
       "974         NaN         NaN   \n",
       "2486        NaN         NaN   \n",
       "3710        NaN         NaN   \n",
       "\n",
       "                                        survey_comments  cell_size_degrees  \\\n",
       "2216  Survey has two blocks - Mary Kathleen and the ...                NaN   \n",
       "2217  Survey has two blocks - Mary Kathleen and the ...                NaN   \n",
       "1736                                                NaN                NaN   \n",
       "3609                                                NaN                NaN   \n",
       "956                                                 NaN                NaN   \n",
       "980                                                 NaN                NaN   \n",
       "977                                                 NaN                NaN   \n",
       "974                                                 NaN                NaN   \n",
       "2486                                                NaN                NaN   \n",
       "3710                                      WAEIS Phase 5                NaN   \n",
       "\n",
       "      cell_size_m dataset_release_date  \\\n",
       "2216          NaN           2020-09-01   \n",
       "2217          NaN           2020-09-01   \n",
       "1736          NaN           2020-09-01   \n",
       "3609          NaN           2020-09-01   \n",
       "956           NaN           2020-09-01   \n",
       "980           NaN           2020-09-01   \n",
       "977           NaN           2020-09-01   \n",
       "974           NaN           2020-09-01   \n",
       "2486          NaN           2020-09-01   \n",
       "3710          NaN           2020-09-01   \n",
       "\n",
       "                                                licence  wms  wcs  ncss  \\\n",
       "2216        CC BY 4.0 © Geological Survey of Queensland  NaN  NaN   NaN   \n",
       "2217        CC BY 4.0 © Geological Survey of Queensland  NaN  NaN   NaN   \n",
       "1736  CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN   \n",
       "3609  CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN   \n",
       "956   CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN   \n",
       "980   CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN   \n",
       "977   CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN   \n",
       "974   CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN   \n",
       "2486  CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN   \n",
       "3710  CC BY 4.0 © Commonwealth of Australia (Geoscie...  NaN  NaN   NaN   \n",
       "\n",
       "      opendap                                      file_download  doi  \\\n",
       "2216      NaN  http://dapds00.nci.org.au/thredds/fileServer/i...  NaN   \n",
       "2217      NaN  http://dapds00.nci.org.au/thredds/fileServer/i...  NaN   \n",
       "1736      NaN  http://dapds00.nci.org.au/thredds/fileServer/i...  NaN   \n",
       "3609      NaN  http://dapds00.nci.org.au/thredds/fileServer/i...  NaN   \n",
       "956       NaN  http://dapds00.nci.org.au/thredds/fileServer/i...  NaN   \n",
       "980       NaN  http://dapds00.nci.org.au/thredds/fileServer/i...  NaN   \n",
       "977       NaN  http://dapds00.nci.org.au/thredds/fileServer/i...  NaN   \n",
       "974       NaN  http://dapds00.nci.org.au/thredds/fileServer/i...  NaN   \n",
       "2486      NaN  http://dapds00.nci.org.au/thredds/fileServer/i...  NaN   \n",
       "3710      NaN  http://dapds00.nci.org.au/thredds/fileServer/i...  NaN   \n",
       "\n",
       "       ecat_id                                        ecat_pid  \\\n",
       "2216  143465.0  http://pid.geoscience.gov.au/dataset/ga/143465   \n",
       "2217  143464.0  http://pid.geoscience.gov.au/dataset/ga/143464   \n",
       "1736  143192.0  http://pid.geoscience.gov.au/dataset/ga/143192   \n",
       "3609  142694.0  http://pid.geoscience.gov.au/dataset/ga/142694   \n",
       "956   141398.0  http://pid.geoscience.gov.au/dataset/ga/141398   \n",
       "980   142651.0  http://pid.geoscience.gov.au/dataset/ga/142651   \n",
       "977   142667.0  http://pid.geoscience.gov.au/dataset/ga/142667   \n",
       "974   142676.0  http://pid.geoscience.gov.au/dataset/ga/142676   \n",
       "2486  142080.0  http://pid.geoscience.gov.au/dataset/ga/142080   \n",
       "3710  143615.0  http://pid.geoscience.gov.au/dataset/ga/143615   \n",
       "\n",
       "                                 ecat_uuid dataset_qa_status  \\\n",
       "2216  f918881c-c0b5-483e-a7c0-ab54030e4cdf                 U   \n",
       "2217  beee7c49-a3a4-4dbb-8102-592ed9d49130                 U   \n",
       "1736  c447ba68-be21-4109-8329-b9c3cbc4e4a4                 U   \n",
       "3609  a07ee578-b932-429e-878e-b7f22a212df7                 U   \n",
       "956   7d8a694d-36e9-4351-a22f-948e2d2aabdb                 U   \n",
       "980   8045628a-0c70-4ccf-99d4-1e2b4902b67e                 U   \n",
       "977   3b2c4a31-b075-496a-9db6-cd885631a3a1                 U   \n",
       "974   3ac9e397-6601-4680-83e4-ad28a543b967                 U   \n",
       "2486  891a59d3-f6e6-4942-b8bf-8c9a9d9213a8                 U   \n",
       "3710  13051346-121d-4cbc-ae4b-55212a62abb4                 U   \n",
       "\n",
       "                                               geometry  \n",
       "2216  POLYGON ((-20.589944 140.227436, -20.578376 14...  \n",
       "2217  POLYGON ((-20.840585 139.948408, -20.661139 13...  \n",
       "1736  POLYGON ((-19.618996 134.274031, -19.566896 13...  \n",
       "3609  POLYGON ((-19.167252 127.774886, -19.156112 12...  \n",
       "956   POLYGON ((-33.866347 147.053185, -33.86576 147...  \n",
       "980   POLYGON ((-35.272592 138.770643, -35.268267 13...  \n",
       "977   POLYGON ((-36.570941 145.345675, -36.567616 14...  \n",
       "974   POLYGON ((-28.382867 147.774562, -28.374916 14...  \n",
       "2486  POLYGON ((-31.951277 139.643398, -31.949107 13...  \n",
       "3710  POLYGON ((-31.486388 121.479079, -30.985005 12...  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#which we see here\n",
    "mag_surveys_line.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So we will use the max line spacing as an indicator"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we need to turn this text dataset into a geospatial dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(mag_surveys_line['geometry'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-22.06130268 140.17013132000002 1.5420693600000028 0.9191753599999686\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,281.25943800000005)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.030841387200000056\" opacity=\"0.6\" d=\"M -20.589944,140.227436 L -20.578376,140.227728 L -20.576554,140.234924 L -20.577377,140.241168 L -20.576535,140.253693 L -20.577412,140.266196 L -20.57657,140.272814 L -20.577465,140.27954 L -20.576574,140.292041 L -20.577506,140.304504 L -20.576657,140.311218 L -20.577524,140.317881 L -20.576603,140.330459 L -20.577543,140.342762 L -20.576659,140.349578 L -20.577633,140.361759 L -20.576675,140.368811 L -20.577681,140.380981 L -20.57666,140.388599 L -20.578137,140.40244 L -20.577112,140.415956 L -20.578075,140.429529 L -20.57724,140.436261 L -20.577718,140.440581 L -20.576665,140.454677 L -20.576611,140.473038 L -20.57785,140.48059 L -20.57863,140.496841 L -20.577305,140.512538 L -20.577825,140.536342 L -20.576574,140.551528 L -20.577412,140.57349 L -20.576821,140.58908 L -20.577712,140.595886 L -20.576883,140.608887 L -20.577464,140.613527 L -20.576738,140.627011 L -20.577528,140.634701 L -20.576954,140.64687 L -20.577808,140.660348 L -20.576775,140.675157 L -20.577554,140.680979 L -20.576636,140.695534 L -20.577295,140.738762 L -20.576612,140.751715 L -20.577334,140.758823 L -20.576615,140.780222 L -20.577495,140.787438 L -20.576725,140.800595 L -20.578071,140.836095 L -20.57661,140.858874 L -20.577581,140.873655 L -20.576352,140.896758 L -20.576978,140.910104 L -20.576553,140.944302 L -20.577245,140.950407 L -20.576347,140.981622 L -20.577382,140.989375 L -20.57642,141.002312 L -20.577141,141.015092 L -20.576385,141.021381 L -20.578744,141.028452 L -20.579895,141.029368 L -20.678534,141.029986 L -20.702544,141.029087 L -20.758107,141.029729 L -20.768467,141.029046 L -20.793431,141.030364 L -20.799294,141.029734 L -20.834732,141.029609 L -21.259254,141.029899 L -21.315787,141.030111 L -21.322621,141.030959 L -21.333699,141.030219 L -21.372011,141.0303 L -21.43032,141.027685 L -21.436557,141.027984 L -21.443781,141.027113 L -21.627842,141.029153 L -21.634959,141.028295 L -21.668053,141.029521 L -21.709014,141.029188 L -21.747,141.030775 L -21.755344,141.03017 L -22.002131,141.032193 L -22.003934,141.011762 L -22.00324,141.005766 L -22.00391,140.992505 L -22.003035,140.979547 L -22.004089,140.971737 L -22.004043,140.953819 L -22.003295,140.947506 L -22.004189,140.933211 L -22.003594,140.920579 L -22.004009,140.885729 L -22.002626,140.881804 L -21.999731,140.881152 L -21.795701,140.876531 L -21.79021,140.875034 L -21.785386,140.872015 L -21.781639,140.867731 L -21.779288,140.862549 L -21.778289,140.855108 L -21.778996,140.84711 L -21.777561,140.813366 L -21.778094,140.794955 L -21.779168,140.787819 L -21.778468,140.766535 L -21.779235,140.759151 L -21.778652,140.744733 L -21.779264,140.731464 L -21.77825,140.71678 L -21.778867,140.693398 L -21.778192,140.688109 L -21.778635,140.674058 L -21.778024,140.659022 L -21.779162,140.644409 L -21.779041,140.632848 L -21.777652,140.619428 L -21.778923,140.597029 L -21.777681,140.589107 L -21.777979,140.55772 L -21.77491,140.504926 L -21.774952,140.485417 L -21.775609,140.4799 L -21.773913,140.455634 L -21.77477,140.441498 L -21.773076,140.427106 L -21.773875,140.412377 L -21.772307,140.397677 L -21.773032,140.384039 L -21.772028,140.37689 L -21.772426,140.363952 L -21.771273,140.350526 L -21.771921,140.343982 L -21.770308,140.328902 L -21.770743,140.305958 L -21.769721,140.292178 L -21.770247,140.286654 L -21.768858,140.272445 L -21.768122,140.271202 L -21.717898,140.269672 L -21.707157,140.270087 L -21.663327,140.268258 L -21.634266,140.268376 L -21.622395,140.267104 L -21.411783,140.261975 L -21.409554,140.263187 L -21.346371,140.333506 L -21.331178,140.349403 L -21.294423,140.390988 L -21.289049,140.395338 L -21.28396,140.397486 L -21.278472,140.398121 L -21.263887,140.397724 L -21.104374,140.390613 L -21.098876,140.388284 L -21.009963,140.333231 L -21.006707,140.331841 L -20.79679,140.329019 L -20.791445,140.327045 L -20.7869,140.323612 L -20.78354,140.319011 L -20.781654,140.313635 L -20.78105,140.287819 L -20.781821,140.281484 L -20.781014,140.268586 L -20.781791,140.262247 L -20.781002,140.255833 L -20.781849,140.243132 L -20.780959,140.234222 L -20.778897,140.227824 L -20.764654,140.228911 L -20.758615,140.228235 L -20.703238,140.22882 L -20.695475,140.228122 L -20.645516,140.227896 L -20.635321,140.227245 L -20.589944,140.227436 z\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x1a79cb4dee0>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mag_surveys_line['geometry'].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf = gpd.GeoDataFrame(mag_surveys_line, crs = \"EPSG:4283\", geometry=mag_surveys_line['geometry'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "gdf.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-43.924158, -29.006174, 135.012295, 165.000059])"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf.total_bounds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "#correct the coordinates\n",
    "gdf.geometry = gdf.geometry.map(lambda polygon: shapely.ops.transform(lambda x, y: (y, x), polygon))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "gdf.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-29.006174, -43.924158, 165.000059, 135.012295])"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf.total_bounds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "#set crs\n",
    "gdf.crs = \"EPSG:4283\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf = gdf.to_crs(\"EPSG:4326\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Geographic 2D CRS: EPSG:4326>\n",
       "Name: WGS 84\n",
       "Axis Info [ellipsoidal]:\n",
       "- Lat[north]: Geodetic latitude (degree)\n",
       "- Lon[east]: Geodetic longitude (degree)\n",
       "Area of Use:\n",
       "- name: World\n",
       "- bounds: (-180.0, -90.0, 180.0, 90.0)\n",
       "Datum: World Geodetic System 1984\n",
       "- Ellipsoid: WGS 84\n",
       "- Prime Meridian: Greenwich"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf.crs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sort descending so that the lowest value for a given part of a polygon is used in rasterizing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf.sort_values(by='max_line_spacing_m', inplace=True, ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "532     75000.0\n",
       "569     10000.0\n",
       "533     10000.0\n",
       "567     10000.0\n",
       "1384    10000.0\n",
       "11       6400.0\n",
       "2172     4800.0\n",
       "2176     4000.0\n",
       "1272     4000.0\n",
       "3539     4000.0\n",
       "Name: max_line_spacing_m, dtype: float64"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf['max_line_spacing_m'].head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "400.0      328\n",
       "1500.0     104\n",
       "500.0       73\n",
       "200.0       70\n",
       "1600.0      48\n",
       "250.0       43\n",
       "3000.0      27\n",
       "100.0       21\n",
       "800.0       18\n",
       "3200.0      14\n",
       "300.0       10\n",
       "1000.0       7\n",
       "150.0        5\n",
       "10000.0      4\n",
       "125.0        3\n",
       "4000.0       3\n",
       "50.0         2\n",
       "2500.0       2\n",
       "2000.0       1\n",
       "2880.0       1\n",
       "750.0        1\n",
       "4800.0       1\n",
       "6400.0       1\n",
       "75000.0      1\n",
       "Name: max_line_spacing_m, dtype: int64"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf['max_line_spacing_m'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Organise to limit to the Australian area of interest, and output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BoundingBox(left=113.0, bottom=-44.0, right=154.0, top=-10.0)\n",
      "{'driver': 'GTiff', 'dtype': 'float32', 'nodata': -3.4028234663852886e+38, 'width': 5087, 'height': 4710, 'count': 1, 'crs': CRS.from_epsg(4326), 'transform': Affine(0.008059760172989974, 0.0, 113.0,\n",
      "       0.0, -0.007218683651804671, -10.0)}\n"
     ]
    }
   ],
   "source": [
    "from rasterio.features import rasterize\n",
    "col = 'max_line_spacing_m'\n",
    "with rasterio.open(r'model_raster.tif') as src:\n",
    "    print(src.bounds)\n",
    "    print(src.meta)\n",
    "    shapes = ((geom,value) for geom, value in zip(gdf.geometry, gdf[col]))\n",
    "    \n",
    "    varray = rasterize(shapes,\n",
    "                   out_shape=(src.height, src.width),\n",
    "                   transform=src.transform,\n",
    "                   all_touched=True,\n",
    "                   dtype='float32')\n",
    "    \n",
    "    with rasterio.open('mag_surveys_line_quality.tif', 'w', **src.meta) as dst:\n",
    "        dst.write(varray, indexes=1)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#clip to 4800 to remove influence of the outlier\n",
    "\n",
    "from rasterio.plot import show, show_hist\n",
    "from matplotlib import pyplot\n",
    "pyplot.figure(figsize=(12,12))\n",
    "pyplot.imshow(varray.clip(max=4800), cmap=\"viridis\")\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Show data distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_hist(source=varray, bins=50, title='Histogram data',histtype='stepfilled')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Repeating for minimum line spacing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf.sort_values(by='min_line_spacing_m', inplace=True, ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "400.0      259\n",
       "200.0      130\n",
       "1500.0     107\n",
       "500.0       62\n",
       "1600.0      47\n",
       "250.0       46\n",
       "100.0       33\n",
       "3000.0      22\n",
       "300.0       18\n",
       "3200.0      14\n",
       "800.0       11\n",
       "150.0        8\n",
       "1000.0       6\n",
       "50.0         5\n",
       "10000.0      4\n",
       "125.0        3\n",
       "2000.0       3\n",
       "750.0        3\n",
       "2500.0       2\n",
       "2880.0       1\n",
       "4000.0       1\n",
       "4800.0       1\n",
       "6400.0       1\n",
       "75000.0      1\n",
       "Name: min_line_spacing_m, dtype: int64"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf['min_line_spacing_m'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BoundingBox(left=113.0, bottom=-44.0, right=154.0, top=-10.0)\n",
      "{'driver': 'GTiff', 'dtype': 'float32', 'nodata': -3.4028234663852886e+38, 'width': 5087, 'height': 4710, 'count': 1, 'crs': CRS.from_epsg(4326), 'transform': Affine(0.008059760172989974, 0.0, 113.0,\n",
      "       0.0, -0.007218683651804671, -10.0)}\n"
     ]
    }
   ],
   "source": [
    "from rasterio.features import rasterize\n",
    "col = 'min_line_spacing_m'\n",
    "with rasterio.open(r'model_raster.tif') as src:\n",
    "    print(src.bounds)\n",
    "    print(src.meta)\n",
    "    shapes = ((geom,value) for geom, value in zip(gdf.geometry, gdf[col]))\n",
    "    \n",
    "    varray = rasterize(shapes,\n",
    "                   out_shape=(src.height, src.width),\n",
    "                   transform=src.transform,\n",
    "                   all_touched=True,\n",
    "                   dtype='float32')\n",
    "    \n",
    "    with rasterio.open('mag_surveys_line_quality_min.tif', 'w', **src.meta) as dst:\n",
    "        dst.write(varray, indexes=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#clip to 4800 to remove influence of the outlier\n",
    "\n",
    "from rasterio.plot import show, show_hist\n",
    "from matplotlib import pyplot\n",
    "pyplot.figure(figsize=(12,12))\n",
    "pyplot.imshow(varray.clip(max=4800), cmap=\"viridis\")\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_hist(source=varray, bins=50, title='Histogram data',histtype='stepfilled')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:pygmt]",
   "language": "python",
   "name": "conda-env-pygmt-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}